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Beyond the AI Hype: The Challenges AI Brings to the IT Industry

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Manage episode 430689712 series 2877567
Contenido proporcionado por EM360. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente EM360 o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

While generative AI and large language models often receive inflated acclaim, their true value is found in harnessing intelligence and data-driven insights.

Despite the hype, AI has its shortcomings, such as large language models sometimes being solutions looking for problems and challenges in understanding its impact on advertising and making savvy investment decisions.

In this podcast, Dana Gardner, President & Principal Analyst of Interarbor Solutions, and Paulina Rios Maya, Head of Industry Relations at EM360Tech, discuss why AI should be seen as a transformational technology rather than just another automation tool.

Key Takeaways

  • AI should be viewed as a transformational technology that can refactor our actions rather than just an automation tool.
  • Large language models may be a solution in search of a problem, and their high costs and sustainability impacts should be considered.
  • Making informed decisions about AI investments requires considering the potential benefits and costs.

Chapters

00:00 - The Current State of AI Development

02:17 - Viewing AI as a Transformational Technology

03:45 - The Limitations of Large Language Models

05:40 - The Impact of AI on Advertising

06:37 - Navigating the Complexities of AI Investments

  continue reading

200 episodios

Artwork
iconCompartir
 
Manage episode 430689712 series 2877567
Contenido proporcionado por EM360. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente EM360 o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.

While generative AI and large language models often receive inflated acclaim, their true value is found in harnessing intelligence and data-driven insights.

Despite the hype, AI has its shortcomings, such as large language models sometimes being solutions looking for problems and challenges in understanding its impact on advertising and making savvy investment decisions.

In this podcast, Dana Gardner, President & Principal Analyst of Interarbor Solutions, and Paulina Rios Maya, Head of Industry Relations at EM360Tech, discuss why AI should be seen as a transformational technology rather than just another automation tool.

Key Takeaways

  • AI should be viewed as a transformational technology that can refactor our actions rather than just an automation tool.
  • Large language models may be a solution in search of a problem, and their high costs and sustainability impacts should be considered.
  • Making informed decisions about AI investments requires considering the potential benefits and costs.

Chapters

00:00 - The Current State of AI Development

02:17 - Viewing AI as a Transformational Technology

03:45 - The Limitations of Large Language Models

05:40 - The Impact of AI on Advertising

06:37 - Navigating the Complexities of AI Investments

  continue reading

200 episodios

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